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Locum Physician (MD/DO) - Psychiatry - General/Other in Indianapolis, IN
Salary not disclosed
Indianapolis, IN 2 days ago


Doctor of Medicine | Psychiatry - General/Other

Location: Indianapolis, IN

Employer:

Pay: Competitive weekly pay (inquire for details)

Start Date: ASAP


About the Position

LocumJobsOnline is working with to find a qualified Psychiatry MD in Indianapolis, Indiana, 46201!

This Job at a Glance

  • Job Reference Id:  ORD-210224-MD-IN
  • Title:  MD
  • Dates Needed:  April 3rd - July 3rd
  • Shift Type:  Day Shift
  • Assignment Type:  Inpatient
  • Call Required:  No
  • Board Certification Required:  No
  • Job Duration:  Locums
About the Facility

This inpatient psychiatric hospital specializes in advanced diagnosis and stabilization of complex mental health cases. The facility provides comprehensive psychiatric services with dedicated resources for intensive treatment of patients requiring specialized inpatient care. The hospital maintains modern documentation systems and interdisciplinary treatment teams to ensure effective delivery of psychiatric services in a structured inpatient environment.

About the Facility Location

Indianapolis features notable attractions including the Indianapolis Motor Speedway Museum and the Children's Museum, along with various specialty museums and walking tour opportunities. The region offers diverse entertainment venues such as the Ruoff Music Center, Everwise Amphitheatre, Clowes Memorial Hall, and Old National Centre, providing options for arts, live music, sports, and shopping experiences. Downtown presents dining and beverage establishments alongside cultural and recreational activities suitable for various interests.

About the Clinician's Workday

The psychiatrist will direct psychiatric services in accordance with institutional policies, utilizing advanced clinical training and professional judgment to guide diagnostic evaluations, treatment plans, and patient care decisions. This position serves as the final authority on psychiatric evaluations while overseeing program planning and reviewing clinical recommendations. The clinician will work part-time for 24 hours per week during day shifts, conducting weekly rounds on a 24-bed inpatient unit and managing complex mental health cases requiring advanced diagnosis and stabilization. Responsibilities include contributing to departmental strategy and agency-wide policy through research and program evaluation while maintaining comprehensive documentation of patient progress and treatment interventions.


Additional Job Details
  • Case Load/PPD:  24 beds / rounding 1x a week
  • Support Staff:  Nursing staff, medical assistants, and administrative support
  • Patient Population:  Adults
  • Location Type:  On-Site
  • Government:  No
  • Shift Hours:  Part time (24 hours)
  • Cases Treated:  Complex mental health cases requiring advanced diagnosis and stabilization
  • Average Length of Stay:  Variable based on patient complexity and treatment needs
  • Census:  24 beds / rounding 1x a week
  • Med Checks/Follow-up per day:  Variable b

    Contact:

About

The need has never been greater to connect great clinicians and great healthcare facilities. That’s what we do. Every day. We’re . We connect clients and clinicians to take care of patients. How do we do it? By doing it better than everyone else. Whether you’re looking for a locum tenens job or locum tenens coverage, our experienced agents have the specialized knowledge, know-how, and personal relationships to take care of you and your search.  


provides comprehensive onboarding and optional 1099 financial consulting from a partner advisor.


 


We cover your malpractice insurance (A++) and provide assistance with credentialing, privileging, licensing, housing and travel.


 


Our agents have the specialized knowledge and personal connections to provide the best locum tenens experience and negotiate top pay on your behalf.


1714077EXPPLAT

permanent
Data Reporting Analyst
🏢 Deploy
Salary not disclosed
Birmingham, AL 3 days ago

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

  • Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
  • Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
  • Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
  • Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
  • Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
  • Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
  • Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

  • Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
  • Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
  • Review and approve reporting change requests, data model modifications, and access requests.
  • Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
  • Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

  • Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
  • Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
  • Build and govern the centralized semantic model that powers reporting across the company.
  • Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
  • Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

  • Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
  • Communicate complex architectural concepts in clear, business-friendly terms.
  • Lead cross-functional initiatives that require unified data structures or scalable reporting.
  • Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

  • Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
  • Track record of establishing and enforcing enterprise reporting standards and governance.
  • Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
  • Able to operate as both an individual contributor and a strategic leader.
  • Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
  • Comfortable influencing architectural decisions and guiding technical execution.
  • Strong command of foundational tools and languages such as:
  • DAX
  • Power Query / M
  • SQL
  • Fabric pipelines / ETL tooling
  • Experience with automation and AI-assisted analytics workflows.
Not Specified
Meditech Data Extraction & Reporting Engineer
✦ New
$55 - 80
Columbus, OH 1 day ago

Description

Meditech Data Extraction & Reporting Engineer

Position Overview

We are seeking an experienced Meditech data engineering specialist to support healthcare data archiving and legacy application retirement projects.

This role focuses on extracting data from legacy Meditech systems and transforming it into relational SQL databases while also preserving Meditech reporting outputs and report logic for use within an archive platform.

The ideal candidate has deep experience with Meditech Client/Server data structures, NPR reporting frameworks, and the Meditech data dictionary. This individual will design and implement processes that convert Meditech hierarchical data structures into normalized relational schemas and enable reproduction or preservation of Meditech reports within a long-term archive environment.

_____________________________________

Required Qualifications

Meditech Platform Experience

Strong hands-on experience working with Meditech environments such as (but not limited to):

• Meditech Client/Server

• Meditech Magic

• Meditech 6.x

Experience working with:

• Meditech DPM structures

• NPR reporting systems

• Meditech dictionaries and pointer relationships

• Meditech segment layouts

_____________________________________

Technical Skills

• Advanced SQL development experience

• Experience designing relational database schemas

• Experience translating hierarchical data models into relational structures

• Experience building data extraction and transformation pipelines

Job Type & Location

This is a Contract position based out of Columbus, OH.

Pay and Benefits

The pay range for this position is $55.00 - $80.00/hr.

Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Mar 20, 2026.

h4> About TEKsystems:

Were partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. Thats the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at .

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

permanent
Junior data analyst/Machine learning engineer
Salary not disclosed
Oakland 2 days ago
CS/IT Graduates or About to be Grads.

Get Hired by taking action.

If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.

A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.

That's why many new grads send hundreds of applications and still hear nothing back.

It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.

Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.

SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.

Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.

If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.

Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).

Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral).

No structured pipeline (random applying without feedback loops).

A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you're tired of guessing, stop treating your job search like a lottery.

Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.

If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.

In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Not Specified
Regional Director, ISP Infrastructure (Data Center)
Salary not disclosed
Sterling, VA 2 days ago

Interested in helping build the next phase of hyperscale data center expansion?


BlueSky Resource Solutions is partnering with a leading infrastructure services provider who is seeking a Regional Director of Data Center Infrastructure to oversee delivery operations within a major hyperscale market.


This role will lead ISP deployments within data center environments while building operational processes, developing field teams, and ensuring high levels of client satisfaction.


The ideal candidate is a hands-on operational leader with experience managing complex infrastructure projects, supporting business growth, and maintaining strong safety, quality, and financial performance standards.


Your project direction:

  • Provide leadership for structured cabling and inside plant (ISP) infrastructure projects within large-scale data center environments.
  • Oversee project lifecycle activities including planning, staffing, scheduling, quality control, and final project turnover.
  • Build and lead field teams including supervisors, technicians, and project support staff.
  • Develop and implement operational standards, documentation practices, testing procedures, and installation guidelines aligned with industry standards.
  • Maintain strong relationships with enterprise and hyperscale data center customers, ensuring service-level commitments and project milestones are met.
  • Collaborate with construction partners, electrical contractors, and facility operations teams to coordinate infrastructure deployment.
  • Monitor project financials including labor forecasting, materials planning, change management, and cost control.
  • Identify opportunities to improve operational efficiency through standardized processes, prefabrication, and digital reporting tools.


The best fit:

  • 8+ years of experience in data center infrastructure, structured cabling, or network deployment environments.
  • Experience managing field teams and overseeing multiple projects.
  • Demonstrated experience managing project budgets, scheduling, and operational performance metrics.
  • Strong client-facing communication and leadership capabilities.
  • Industry certifications are considered a plus.
  • Ability to meet site access requirements including background screening and safety compliance.
Not Specified
Entry Level Data Engineer
✦ New
Salary not disclosed
Boston, MA 1 day ago

Job Overview:

We are seeking a Data Engineer to support data pipeline development and ETL processes.

Responsibilities:

Build and maintain ETL pipelines

Optimize database performance

Work with structured and unstructured data

Ensure data integrity

Requirements:

Degree in Data Engineering or related field

Knowledge of SQL, Python

Familiarity with data warehousing concepts

Not Specified
Materials Data Specialist
🏢 Radiant
Salary not disclosed
El Segundo, CA 2 days ago

Materials Data Specialist


Radiant is seeking a Materials Data Specialist to support the development of our internal materials database. This role focuses on researching, validating, and organizing material property data used by engineering teams across reactor design, thermal systems, and structural analysis.


The ideal candidate has a technical background in materials science, materials engineering, or a related engineering discipline and enjoys working at the intersection of engineering research, data quality, and structured documentation.


You will evaluate the quality of material property sources, organize data into defined schemas, and contribute to documentation that helps engineers confidently use materials data in design and analysis.


Responsibilities


Research Materials Data

  • Search scientific literature, databases, and reports to identify relevant material property data.
  • Evaluate the quality, reliability, and applicability of material property sources.
  • Flag inconsistencies or uncertainty in data sources.

Structure Engineering Data

  • Enter material property data into internal databases following defined schemas and standards.
  • Maintain consistent formatting and traceability of data sources.
  • Ensure data integrity and reproducibility for engineering use.

Document Materials Information

  • Write concise descriptions of materials and their properties in supporting reports.
  • Summarize relevant test conditions, limitations, and assumptions for engineering teams.
  • Maintain clear documentation of data sources and methodologies.
Not Specified
Data Quality Analyst / Data Steward
Salary not disclosed
Montgomery 2 days ago
Job Requisition: Data Quality Analyst / Data Steward Contract Length: Long Term – Potential renewal each fiscal year Work Location: 100% onsite – Montgomery, AL Candidate Profile Experienced data professional capable of building, advancing, and scaling data quality and governance foundations from scratch.

Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.

Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.

Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.

Drive long term improvement of data standards, definitions, lineage, and quality processes.

Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.

Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.

Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.

Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.

Conduct root cause analysis and implement preventive and long term remediation solutions.

Optimize SQL queries, tune stored procedures, and improve data processing performance.

Document audit findings, validation processes, data flows, standards, and quality reports.

Build dashboards and reports for data quality KPIs using Power BI/Tableau.

Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.

Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.

Ensure proper and consistent data usage across departments and systems.

Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.

Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.

Provide training on data entry, data handling, stewardship practices, and data literacy.

Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.

GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.

Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.

Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.

Drive adoption of data quality and governance practices across business and technical teams.

Support long term evolution of enterprise data strategy and governance maturity.

Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.

SSIS development, deployment, and troubleshooting.

Data profiling, validation rule design, quality scoring, and measurement techniques.

ETL/ELT pipeline design, debugging, and optimization.

Data modeling (conceptual, logical, physical).

Metadata management and lineage documentation.

Reporting and dashboarding with Power BI, Tableau, or similar tools.

Strong documentation and communication skills.

Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.

Experience in low maturity/green field data environments.

Familiarity with AI/ML data readiness and feature store aligned data structuring.

Cloud data engineering exposure (Azure, Databricks, GCP).

Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.

Master’s degree preferred.

Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
Not Specified
Data Analyst
Salary not disclosed
Raleigh, NC 2 days ago
Job Title: Data Analyst

Location: Remote

Duration: 4-month, possible extension

Hours: M-F 8am - 5pm EST or CST preferred

Why is this role open? (Coverage, looking for perm, etc.) - To complete an ongoing project

Potential to convert to FTE, If so, what rate:

Possible if headcount is available

Overview of Work Environment/Client Nuances:

Potentially some interaction with the client so they will need to have excellent communication skills

Team Overview:

will work closely with H.M and team of data analysts

Resource's typical working day:


  • Data management
  • May do some vendor management
  • Some data presentation
  • Some process improvement
  • Data mining to assist operations around lab equipment maintenance
  • Some vendor management


About the Role:


  • As a Client Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.
  • This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.


What You'll Do:


  • Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.
  • Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
  • Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.
  • Define basic data requirements and gather information using judgment and statistical tests.
  • Use programming and evaluation tools, including open-source programs to plan models and extract insights.
  • Apply modeling and optimization methods to improve business performance.
  • Develop ad-hoc reporting based on the review of existing data sources.
  • Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.
  • Confirm the quality and integrity of existing data sources.
  • Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
  • Have some knowledge of standard principles with limited practical experience in applying them.
  • Lead by example and model behaviors that are consistent with Client RISE values.
  • Impact the quality of own work.
  • Work within standardized procedures and practices to achieve objectives and meet deadlines.
  • Exchange straightforward information, ask questions, and check for understanding.


What You'll Need:


  • Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.
  • Ability to use existing procedures to solve standard problems.
  • Experience with analyzing information and standard practices to make judgments.
  • In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.
  • Organizational skills with a strong inquisitive mindset.


Licenses/Certifications: n/a

Must Have Skills:


  • Extreme attention to detail
  • Great with time management and has a sense of urgency to complete tasks
  • Excellent communication skills
  • Will need to be able to "tell the story of the data"


Nice to have skills:


  • Experience with pharmaceutical equipment management is a huge plus
  • Vantage experience


Years of Experience:


  • 4-7 years


Education

Bachelor's degree highly preferred, will accept experience in lieu of.

Software skills:


  • Excel
  • Microsoft Office suit
  • Vantage
  • Smart sheets


Interview Process:

1 round, virtual (Teams) with H.M.

Not Specified
Senior Data Modeler
🏢 Harnham
Salary not disclosed
Phoenix, AZ 4 days ago

Senior Data Modeler

Hybrid 3-4 days onsite

Location: Phoenix, Arizona

Salary: $130,000 - $150,000 base


A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.


What You’ll Be Working On

  • Designing and implementing enterprise data models across conceptual, logical, and physical layers
  • Establishing Medallion architecture patterns and reusable modeling assets
  • Building dimensional and semantic models that support analytics and reporting
  • Partnering closely with domain experts and functional leaders to translate business needs into data structures
  • Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
  • Helping define modeling standards and upskilling senior engineers in modern data modeling practices
  • Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
  • Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.


Must-Have Experience

  • Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
  • Deep understanding of Medallion architecture
  • Advanced SQL and experience working with a modern cloud data warehouse
  • Experience with dbt for transformations and modeling
  • Hands-on experience in cloud-native data environments (AWS preferred)
  • Ability to work directly with business stakeholders and explain technical concepts clearly
  • Experience collaborating closely with data engineers on execution


Nice to Have

  • Python experience
  • Familiarity with Informatica or reverse-engineering legacy data models
  • Exposure to streaming or near-real-time data pipelines
  • Experience with visualization tools (tool choice is flexible)


Who Will Thrive in This Role

  • A senior individual contributor who enjoys building from scratch
  • Someone who can act as a modeling expert and mentor in an organization formalizing this practice
  • Comfortable working in ambiguity and taking initiative
  • Strong communicator who enjoys partnering with both technical and non-technical teams
  • Equally comfortable discussing business concepts and physical data models


Why This Role Is Unique

  • Greenfield data modeling initiative with real influence
  • Opportunity to define standards that will be used across the organization
  • Work on large-scale, real-world operational and analytical data
  • High visibility within a growing data organization
  • Flexible work setup for individual contributors


If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

Not Specified
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